Xiaoyuan Song

86 total papers · 5.4k total citations
55 papers, 3.3k citations indexed

About

Xiaoyuan Song is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Xiaoyuan Song has authored 55 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 19 papers in Cancer Research and 7 papers in Cell Biology. Recurrent topics in Xiaoyuan Song's work include Cancer-related molecular mechanisms research (13 papers), RNA Research and Splicing (12 papers) and RNA modifications and cancer (11 papers). Xiaoyuan Song is often cited by papers focused on Cancer-related molecular mechanisms research (13 papers), RNA Research and Splicing (12 papers) and RNA modifications and cancer (11 papers). Xiaoyuan Song collaborates with scholars based in China, United States and Egypt. Xiaoyuan Song's co-authors include Michael G. Rosenfeld, Christopher K. Glass, Bogdan Tanasă, Dimple Notani, Xiangting Wang, S Arai, Riki Kurokawa, Donna Reichart, Kun Du and Gabriel Pascual and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Xiaoyuan Song

54 papers receiving 3.3k citations

Hit Papers

Induced ncRNAs allosteric... 2008 2026 2014 2020 2008 2013 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xiaoyuan Song 2.6k 1.3k 398 193 178 55 3.3k
Robert F. Place 3.7k 1.4× 2.4k 1.9× 279 0.7× 238 1.2× 159 0.9× 47 4.7k
Ayelet Erez 1.6k 0.6× 792 0.6× 702 1.8× 159 0.8× 123 0.7× 60 3.0k
Shuzhen Chen 2.1k 0.8× 603 0.5× 324 0.8× 270 1.4× 149 0.8× 68 3.1k
Rosa Passantino 1.5k 0.6× 1.1k 0.9× 311 0.8× 184 1.0× 154 0.9× 39 2.6k
Long‐Cheng Li 3.7k 1.4× 2.1k 1.6× 415 1.0× 182 0.9× 141 0.8× 69 4.7k
Andrew M. Thomson 3.0k 1.2× 2.3k 1.8× 179 0.4× 239 1.2× 145 0.8× 26 3.9k
Armando Felsani 2.0k 0.8× 657 0.5× 309 0.8× 189 1.0× 119 0.7× 81 3.1k
Jan Christiansen 2.9k 1.1× 916 0.7× 413 1.0× 205 1.1× 59 0.3× 75 3.8k
Motoko Unoki 2.7k 1.1× 465 0.4× 375 0.9× 211 1.1× 80 0.4× 51 3.3k
Aldo Pagano 1.8k 0.7× 781 0.6× 145 0.4× 85 0.4× 142 0.8× 61 2.4k

Countries citing papers authored by Xiaoyuan Song

Since Specialization
Citations

This map shows the geographic impact of Xiaoyuan Song's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaoyuan Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyuan Song more than expected).

Fields of papers citing papers by Xiaoyuan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoyuan Song. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaoyuan Song. The network helps show where Xiaoyuan Song may publish in the future.

Co-authorship network of co-authors of Xiaoyuan Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyuan Song. A scholar is included among the top collaborators of Xiaoyuan Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaoyuan Song. Xiaoyuan Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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